Results 31 to 40 of about 117,449 (268)
Общая реаниматология, 2021 The human electroencephalogram (EEG) constitutes a nonstationary, nonlinear electrophysiological signal resulting from synchronous firing of neurons in thalamocortical structures of the brain. Due to the complexity of the brain's physiological structures
G. Sobolova +4 more
doaj +1 more source
CNN AND LSTM FOR THE CLASSIFICATION OF PARKINSON'S DISEASE BASED ON THE GTCC AND MFCC
Applied Computer Science, 2023 Parkinson's disease is a recognizable clinical syndrome with a variety of causes and clinical presentations; it represents a rapidly growing neurodegenerative disorder.
Nouhaila BOUALOULOU +2 more
doaj +1 more source
Hilbert spectrum based features for speech/music classification [PDF]
Serbian Journal of Electrical Engineering, 2022 Automatic Speech/Music classification uses different signal processing techniques to categorize multimedia content into different classes. The proposed work explores Hilbert Spectrum (HS) obtained from different AM-FM components of an audio ...
Kumar Arvind +2 more
doaj +1 more source
Audio Watermarking Via EMD [PDF]
IEEE Transactions on Audio, Speech, and Language Processing, 2013 In this paper a new adaptive audio watermarking algorithm based on Empirical Mode Decomposition (EMD) is introduced. The audio signal is divided into frames and each one is decomposed adaptively, by EMD, into intrinsic oscillatory components called Intrinsic Mode Functions (IMFs).
Kais Khaldi, Abdel-Ouahab Boudraa
openaire +4 more sources
Noise Reduction of Welding Crack AE Signal Based on EMD and Wavelet Packet
Sensors, 2020 The acoustic emission (AE) signal collected by a sensor in the welding process has an overlapping frequency band and weak characteristics under a complex noise background. It is difficult for the wavelet noise reduction method, with single basis function,
Kuanfang He +4 more
doaj +1 more source
Speech Enhancement via EMD [PDF]
EURASIP Journal on Advances in Signal Processing, 2008 In this study, two new approaches for speech signal noise reduction based on the empirical mode decomposition (EMD) recently introduced by Huang et al. (1998) are proposed. Based on the EMD, both reduction schemes are fully data-driven approaches. Noise signal is decomposed adaptively into oscillatory components called intrinsic mode functions (IMFs ...
Kais Khaldi +3 more
openaire +3 more sources
The Similarity Comparison Algorithm of Free-Form Surfaces with Single Curvature Feature [PDF]
Xibei Gongye Daxue Xuebao, 2018 This paper studies the shape similarity evaluation of free-form surfaces expressed by B-spline with single curvature feature and proposes a similarity evaluation algorithm based on curvature feature.
doaj +1 more source
ASN Neuro, 2014 In inflammatory demyelinating diseases such as multiple sclerosis (MS), myelin degradation results in loss of axonal function and eventual axonal degeneration. Differentiation of resident oligodendrocyte precursor cells (OPCs) leading to remyelination of
Carlos E. Pedraza +6 more
doaj +1 more source
Rapid control prototyping solution based on NI MyRIO, VeriStand and Matlab - Simulink [PDF]
EPJ Web of ConferencesIn this paper, a professional rapid control prototyping solution will be presented. The whole setup consists of NI MyRIO 1900, VeriStand HIL / RCP management software and MathWorks Matlab – Simulink testing environment based on model design approach. The
Pintilie Lucian Nicolae +5 more
doaj +1 more source
Journal of Analytical Methods in Chemistry, 2014 Biological samples present a range of complexities from homogeneous purified protein to multicomponent mixtures. Accurate qualification of such samples is paramount to downstream applications.
Ivona Strug +9 more
doaj +1 more source